Sökning: "Learning Classifier System"

Visar resultat 6 - 10 av 112 uppsatser innehållade orden Learning Classifier System.

  1. 6. Machine Learning based Predictive Data Analytics for Embedded Test Systems

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Fayad Al Hanash; [2023]
    Nyckelord :Machine learning; Artificial Intelligence; Predictive data analytics; Embedded test systems; Confusion matrix; Predictive maintenance; Support vector machines; Random forest; Gradient Boosting; Multi-layer perceptron; Binary classification; Multi-class classification;

    Sammanfattning : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. LÄS MER

  3. 7. Behaviour-based detection ofransomware attacks in the Cloud usingmachine learning

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Yaroslav Popryho; Leonid Popryho; [2023]
    Nyckelord :ransomware detection; cloud environments; behavior-based detec- tion; machine learning; Google Drive;

    Sammanfattning : Background: Ransomware attacks are a significant threat to digital informa-tion, and with the increasing adoption of cloud storage services, attackers now targetcloud environments. The existing literature on ransomware detection has primarilyfocused on local environments, and there is a limited body of research on applyingthese approaches to the cloud environment. LÄS MER

  4. 8. Predicting SNI Codes from Company Descriptions : A Machine Learning Solution

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Erik Lindholm; Jonas Nilsson; [2023]
    Nyckelord :Machine learning; text classification; SNI; Naive Bayes; SVM; oversampling; undersampling;

    Sammanfattning : This study aims to develop an automated solution for assigning area of industry codes to businesses based on the contents of their business descriptions. The Swedish standard industrial classification (SNI) is a system used by Statistics Sweden (SCB) for categorizing businesses for their statistics reports. LÄS MER

  5. 9. Contactless palm print recognition: Novel design and palm openness classification

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Simon Mahdavi Khayavi; Leo Yi-Lei Li; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Biometric technologies, such as facial and fingerprint recognition, have become widely adopted for identity verification in various applications. Palm biometrics, utilizing the unique patterns of the human palm, has gained significant attention for its accuracy and security. LÄS MER

  7. 10. Reverse Engineering of Deep Learning Models by Side-Channel Analysis

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Xuan Wang; [2023]
    Nyckelord :Side-Channel Attack; Deep Learning; Reverse Engineering; Perceptron Neural Network; Sidokanalattack; Djup lärning; Omvänd Konstruktion; Perceptron Neurala Nätverk;

    Sammanfattning : Side-Channel Analysis (SCA) aims to extract secrets from cryptographic systems by exploiting the physical leakage acquired from implementations of cryptographic algorithms. With the development of Deep Learning (DL), a new type of SCA called Deep Learning Side-Channel Analysis (DLSCA) utilizes the advantages of DL techniques in data features processing to break cryptographic systems more efficiently. LÄS MER